Video description
Spring developers doing batch processing turn to Spring Batch for a multitude of reasons, but three stand out. First, Spring Batch is THE leading batch framework on the JVM. If you compare JSR 352 documentation (the Java spec for standardizing batch processing) with the documentation for Spring Batch, you'll see two virtually identical documents.
For all intents and purposes, Spring Batch is JSR 352. Second, it can scale from a single JVM to multiple JVMs, which means it can handle any batch processing work load. Third, it has a compelling set of robust error handling capabilities that minimize errors and keeps (for the most part) your trouble pager from buzzing at 3AM. Topics in this video include project setup, job configuration, reading and writing to various inputs and outputs, validating, processing, and filtering of data, as well as operational concerns such as error handling, receiving informational messages, and scaling jobs.
- Learn everything Spring developers need to know to get going with batch processing
- Understand job flow - Spring's infrastructure for setting up and configuring batch processing
- Survey Spring's ready-to-use tools for reading and writing to various inputs and outputs
- Learn Spring techniques for validating, processing, and filtering data
- Learn to scale from a single JVM to multiple JVMs and handle any work load
- Discover why Spring's error handling capabilities can keep your pager from buzzing at 3AM
Michael Minella is a software engineer, teacher and author with over a decade of enterprise development experience. Michael was a member of the expert group for JSR-352 (java batch processing). He currently works for Pivotal as the project lead for the Spring Batch project as well as an instructor at DePaul University. Michael is the author of Pro Spring Batch from Apress and the popular Refcard JUnit and EasyMock.
Publisher resources
Table of contents
-
Introduction
- Introduction 00:12:05
- About The Author 00:01:10
-
Hello World
- Project Setup 00:05:43
- Creating A Simple Job 00:09:30
- Reviewing The Results 00:11:07
-
Job Flow
- Transitions 00:08:33
- Flows 00:06:22
- Splits 00:03:24
- Decisions 00:05:10
- Nested Jobs 00:07:00
- Listeners 00:06:18
- Job Parameters 00:06:00
-
Input
- Interface: ItemReader 00:04:58
- Reading From A Database 00:09:32
- Reading Flat Files 00:10:54
- Reading From XML 00:04:56
- Reading From Multiple Sources 00:06:49
- ItemReader State 00:07:57
- ItemStream Interface 00:05:21
-
Output
- Interface: ItemWriter 00:03:10
- Writing To A Database 00:05:54
- Writing Flat Files 00:07:21
- Writing To XML Files 00:06:25
- Writing To Multiple Destinations 00:08:31
-
Processing
- Interface: ItemProcessor 00:06:06
- Filtering Items 00:03:21
- Validating Items 00:05:47
- CompositeItemProcessors 00:04:36
- Error Handling
-
Scaling Jobs
- Ways Of Scaling Spring Batch Applications 00:04:10
- Multi-Threaded Step 00:04:25
- AsyncItemProcessor/AsyncItemWriter 00:06:39
- Local Partitioning 00:09:10
- Remote Partitioning 00:09:53
- Remote Chunking 00:09:32
-
Job Orchestration
- Starting A Job 00:09:39
- Stopping A Job 00:06:58
- Scheduling A Job Using Spring Schedule 00:04:22
-
Spring Batch With Spring Integration
- Launching Jobs Via Messages 00:05:42
- Informational Messages 00:08:10
-
Conclusion
- What We Learned 00:01:00
Product information
- Title: Learning Spring Batch
- Author(s):
- Release date: May 2016
- Publisher(s): Infinite Skills
- ISBN: 9781771375146
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